Digital Twin for Healthcare

Design, Challenges, and Solutions
Erscheinungsjahr 2022
ISBN: 978-0-323-99163-6
Verlag: Elsevier Science & Technology

Buch, Englisch, 350 Seiten, Format (B × H): 227 mm x 151 mm, Gewicht: 608 g

Digital Twins for Healthcare: Design, Challenges and Solutions establishes the state-of-art in the specification, design, creation, deployment and exploitation of digital twins' technologies for healthcare and wellbeing.

A digital twin is a digital replication of a living or non-living physical entity. When data is transmitted seamlessly, it bridges the physical and virtual worlds, thus allowing the virtual entity to exist simultaneously with the physical entity. A digital twin facilitates the means to understand, monitor, and optimize the functions of the physical entity and provide continuous feedback. It can be used to improve citizens' quality of life and wellbeing in smart cities and the virtualization of industrial processes.

Zielgruppe

<p>Graduate students (Ms, PhDs, Postdocs) in Biomedical Engineering, Computer Science working with advanced technologies and healthcare.</p> <p>Decision makers, Scientists, researchers in computer science and engineers and Health care professionals</p>

Autoren/Hrsg.

Saddik, Abdulmotaleb El

Fachgebiete

• Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Medizin, Gesundheitswesen Medizintechnik, Biomedizintechnik, Medizinische Werkstoffe
• Technische Wissenschaften Sonstige Technologien | Angewandte Technik Medizintechnik, Biomedizintechnik
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
• Technische Wissenschaften Elektronik | Nachrichtentechnik Elektronik Robotik

Inhaltsverzeichnis

1. Introduction to Digital Twin
2. Under-Actuated Digital Twin's Robotic Hands with Tactile Sensing Capabilities for Well-being
3. Digital Twin for Healthcare Immersive Services
4. Challenges of Digital Twin in Healthcare
5. Architecture Reference Models of Digital Twins for Healthcare

6. Artificial Intelligence Models in Digital Twins for Health and Well-being
7. COVIDMe: A Digital Twin for COVID-19 self-assessment and detection
8. Improve Human Living Environment and Human Health by Environmental Digital Twins Technology
9. Role of smart technologies in detecting cognitive impairment and enhancing assisted living
10. Digital Twins and Cybersecurity in Healthcare systems
11. Potential applications of Digital Twin in Medical care
12. Digital Twin in Prognostics and Health Management System
13. Digital Twin for Cardiology
14. Applications of digital twins to migraine disease
15. Digital Twins for Nutrition
16. Digital Twins for Allergies

Über Autor(innen)

Saddik, Abdulmotaleb El
Abdulmotaleb El Saddik is a full professor at MBZUAI and Distinguished University Professor in the School of Electrical Engineering and Computer Science at the University of Ottawa. His research focus is on the establishment of Digital Twins to facilitate the wellbeing of citizens using AI, AR/VR, and Tactile Internet, hence allowing people to interact in real-time with one another, as well as with their digital representation. He has authored and coauthored 10 books and more than 550 publications, and chaired more than 50 conferences and workshop. He has received research grants and contracts totaling more than $20M and has supervised more than 150 researchers. He is a Fellow of the Royal Society of Canada, Fellow of IEEE, Fellow of the Canadian Academy of Engineering, and Fellow of the Engineering Institute of Canada. He is an ACM Distinguished Scientist and has received several awards, including the Friedrich Wilhelm Bessel Award from the German Humboldt Foundation, as well as the IEEE Instrumentation and Measurement Society Technical Achievement Award. He also received IEEE Canada C.C. Gotlieb (Computer) Medal and A.G.L. McNaughton Gold Medal for important contributions to the field of computer engineering and science and the IEEE TCSC Achievement Award for Excellence in Scalable Computing.